julia> @syms x y b θ;
julia> normalize(@term(1 / (sin(-θ) / cos(-θ))))
@term(1 / (-(sin(θ)) / cos(θ)))
julia> normalize(@term(log(b, 1 / (b^abs(x^2)))))
@term(log(b, 1 / b ^ abs(x ^ 2)))
julia> normalize(@term(diff(sin(2x) - log(x+y), x)))
@term(1 * -(inv(x + y) * (1 * diff(y, x) + 1 * one(x))) + 1 * cos(2x) * (2 * one(x) + x * 0))
julia> normalize(@term(!x & x | (y & (y | true))))
@term(!x & x | (y | true) & y)
julia> normalize(@term(y^(6 - 3log(x, x^2))))
@term(y ^ (-(6 * log(x, x)) + 6))

julia> @syms f g h;
       @vars x y;
julia> normalize(@term(f(x, f(y, y))), @term RULES [
          f(x, x) => 1
          f(x, 1) => x
       ])
@term(x)
julia> normalize(@term(f(g(f(1), h()))), Rules(
          @term(f(x)) => @term(x),
          @term(h())  => @term(3),
       ))
@term(g(1, 3))
julia> using Simplify: EvalRule
julia> normalize(@term(f(g(f(1), h()))), Rules(
          @term(f(x)) => @term(x),
          @term(h())  => @term(3),
          EvalRule(g, (a, b) -> 2a + b)
       ))
@term(5)

julia> using SpecialSets
julia> @syms x y z;
julia> ctx = [get_context(); Image(y, GreaterThan(3)); Image(z, Even ∩ LessThan(0))];
julia> with_context(ctx) do
           normalize(@term(abs(x)))
       end
@term(abs(x))
julia> with_context(ctx) do
           normalize(@term(abs(y)))
       end
@term(y)
julia> with_context(ctx) do
           normalize(@term(abs(z)))
       end
@term(-z)

julia> ctx = [get_context(); Image(x, TypeSet(Int)); Image(y, TypeSet(Int))];
julia> with_context(ctx) do
           normalize(@term(diff(sin(2x) - log(x + y), x)))
       end
@term(cos(2x) * 2 + -(inv(x + y) * (diff(y, x) + 1)))